代码搜索：ESTIMATION
找到约 3,786 项符合「ESTIMATION」的源代码
代码结果 3,786
www.eeworm.com/read/449504/7502763
m egarchx.m
function [parameters, likelihood, stderrors, robustSE, ht, scores]=egarchX(data,p,o,q,errors, X,options, startingvals);
% PURPOSE:
% EGARCHX(P,Q) parameter estimation with different error distri
www.eeworm.com/read/449504/7502764
m fattailed_garch2.m
function [parameters, likelihood] = fattailed_garch2(data , p , q , breakpt , startingvals, options)
% PURPOSE:
% FATTAILED_GARCH(P,Q) parameter estimation with different error distributions, th
www.eeworm.com/read/449504/7502957
m contents.m
% spatial Durbin model estimation functions
%
% f2_sdm : evaluates llike for the spatial durbin model
% f_sdm : evaluates concentrated log-likelihood for the
% make_html
www.eeworm.com/read/449504/7503006
html contents.html
Spatial econometrics functions library
[Return to Master Index]
-------- GMM spatial model estimation fu
www.eeworm.com/read/447973/7542867
m outputprocess.m
%%% DynaEst 3.032 10/22/2000
% Copyright (c) 2000 Yaakov Bar-Shalom
%
%OutputProcess : Output the state estimation results
colordef none;
% select one trajectory to view
if ResultFlag == 1
www.eeworm.com/read/441245/7672740
m normal_map.m
%NORMAL_MAP Map a dataset on normal-density classifiers or mappings
%
% F = NORMAL_MAP(A,W)
%
% INPUT
% A Dataset
% W Mapping
%
% OUTPUT
% F Density estimation for classes in A
%
% DESC
www.eeworm.com/read/441245/7673009
m crossval.m
%CROSSVAL Error/performance estimation by cross validation (rotation)
%
% [ERR,CERR,NLAB_OUT] = CROSSVAL(A,CLASSF,N,1,TESTFUN)
% [ERR,STDS] = CROSSVAL(A,CLASSF,N,NREP,TESTFUN)
% R
www.eeworm.com/read/439462/7708280
m esprit.m
function w=esprit(y,n,m)
%
% The ESPRIT method for frequency estimation.
%
% w=esprit(y,n,m);
%
% y -> the data vector
% n -> the model order
% m -> the order of the cova
www.eeworm.com/read/399996/7816845
m bayesian_parameter_est.m
function [mu, sigma] = Bayesian_parameter_est(train_patterns, train_targets, sigma)
% Estimate the mean using the Bayesian parameter estimation for Gaussian mixture algorithm
% Inputs:
% pattern
www.eeworm.com/read/198947/7903106
m specestim.m
%SPECESTIM Frequency spectrum estimation.
% [Sx, Sn, Sh] = SPECESTIM(X, N, H, NN) returns the frequency
% spectrum of the transmitted data in Sx, the channel noise
% in Sn and the magnitude square fre